This thesis aims to develop virtual sensors using various multivariate regression techniques to predict quality parameters in a resin production process.
This thesis aims to develop virtual sensors using various multivariate regression techniques to predict quality parameters in a resin production process.
Development of machine learning methods for soft-sensing in resin manufacturing
SCRAMONCIN, DEVIS
2023/2024
Abstract
This thesis aims to develop virtual sensors using various multivariate regression techniques to predict quality parameters in a resin production process.File in questo prodotto:
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Scramoncin_Devis.pdf
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.12608/78087